Evidence map›Paper›PMID 37250275›Full record

ReviewJournal of lifestyle medicine2023

Association of Physical, Psychological and Psychosocial Attributes With Arterial Stiffness in Cardiovascular Disorders: A Systematic Literature Review.

Gaurav Kapoor

Open access · hybridAbstract readReview
In one paragraph

Review in Journal of lifestyle medicine, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing papers in PubMed
0.9field-weighted citation impact, top 24% of its field
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

1 citing paper in PubMed, 4 citations in OpenAlex.

  1. Review
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

1 author at 1 institution in 1 country.

Gaurav KapoorDepartment of Physiotherapy, Jayoti Vidyapeeth Women's University, Rajasthan, India.ORCID https://orcid.org/0000-0001-6845-3194
Jayoti Vidyapeeth Women's University · IN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The prevalence of cardiovascular diseases is increasing exponentially in the industrialized world. According to the World Health Organization, 17.8 million people died in 2019 as a result of cardiovascular diseases (CVD), accounting for 31.0% of all fatalities worldwide. Even though CVD is more common in low and middle-income countries, it is responsible for three-quarters of all cardiovascular-related deaths worldwide. The most common attributes for the occurrence of CVD are the physical, psychological, and psychosocial factors. Arterial stiffness, which is a precursor of CVD, is most commonly affected by said factors and serves as a predictor for CVD diagnosis, treatment, and prevention. The purpose of this article is to learn more about the relationship between arterial stiffness and the physical, psychological, and psychosocial characteristics of cardiovascular diseases. In addition to proposed ways to lower the co-morbidities following CVD. PubMed, Medline, and Web of Science were used for the present review. Only articles published between 1988 and 2022 that discussed physical, psychological, and psychosocial characteristics were considered. A narrative discussion is used to extract and review the information from the selected articles. Several factors related to arterial stiffness and cardiovascular illness have been reviewed, and data has been compiled. This review proposed recommendations and a list of linked factors for prevention and to lower morbidity of cardiovascular illness.

Indexed as

Behavioral PsychologyCardiovascular diseaseObesityPhysical activitySedentary behavior

Identifiers

PMID37250275
PMCPMC10210964
OpenAlexW4377992190

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC
Read underepoch 390

Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.